Hyperquery
Querybook
Setup
Is it managed?
Is it managed?
Fully managed (setup in minutes)
No, you must host it yourself
Can you self-host?
Can you self-host?
No, you must use a managed offering
You can self-host (setup in hours)
Features
Is it Jupyter compatible?
Is it Jupyter compatible?
Programming languages
Programming languages
What kind of data sources can you connect to?
What kind of data sources can you connect to?
Connect to data warehouses (AWS, GCP, etc.)
Connect to databases (Postgres, MS SQL, etc.)
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect to data warehouses (Snowflake, Google BigQuery, etc.)
Connect to databases (PostgreSQL, MySQL, etc.)
What kind of data visualization can you do?
What kind of data visualization can you do?
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Reactivity
Reactivity
No reactivity, you decide the execution order
No reactivity, you decide the execution order
Notebook scheduling
Notebook scheduling
Notebook scheduling is built in
Management
Reproducibility
Reproducibility
Environments are reproducible by default
With effort, you can make reproducible environments
Version history
Version history
Version history is built in
Collaborative editing
Collaborative editing
Multiple editors at the same time
Multiple editors at the same time
Comments
Comments
Comment on items within a notebook
Notebook organization
Notebook organization
View notebooks in a tree, like a wiki
Licensing
License
License
Price
Price